Introduction
At IBM, a career is more than just a job—it’s a mission: to build, design, code, consult, and collaborate. It’s about thinking alongside clients, driving innovation, creating markets, and tackling challenges you never thought possible. Are you ready to lead in this new era of technology and address some of the world’s most pressing problems? If so, let’s connect.
IBM Consulting is the professional consulting and services division of IBM, renowned for its expertise in business and technology transformation. We collaborate with some of the world’s most innovative and valuable companies, offering services in strategy, experience, technology, and operations. Our team is dedicated to accelerating client success through collaboration and leveraging technology responsibly to benefit people, partners, and the planet.
Within IBM Consulting, the Asset Engineering Services team specializes in building software products and scalable solutions that support diverse consulting and service engagements across a wide range of clients. We are currently seeking a motivated and experienced Data Engineer to join our global team and deliver exceptional results for both internal and external stakeholders.
Your Role and Responsibilities
As a Data Engineer within the Asset Engineering team, you will play a key role in developing cutting-edge AI-driven solutions that integrate seamlessly with various systems and applications. You will work closely with the broader team to design, analyze, and refine AI solutions to meet client needs.
Required Technical and Professional Expertise
- 8+ years of professional experience, including 5+ years as a Data Engineer with exposure to machine learning.
- Proficiency in Python and familiarity with RESTful APIs.
- Strong knowledge of database management systems such as MySQL or PostgreSQL.
- Experience in web scraping and diverse data collection methods.
- Expertise in optimizing data retrieval and machine learning workflows to enhance the performance of Generative AI systems in real-time environments.
- Skills in exploratory data analysis (EDA) for both structured and unstructured data, with the ability to generate insights and propose actionable outcomes.
- Proficiency in data management, including creating tools to support product managers in developing use case-specific knowledge bases and workflows.
Preferred Technical and Professional Expertise
- Collaboration with product managers and technical leads to build data pipelines and knowledge bases supporting AI use cases.
- Experience working with integration teams to deploy models into production environments, ensuring seamless data flow.
- Familiarity with IBM Cloud, Cirrus (IBM CIO Private Cloud), and DevOps tools like GitHub Enterprise and CI/CD pipelines.
- Knowledge of best practices for ensuring data security, privacy, and compliance standards.
Join us to push boundaries and build solutions that drive meaningful change.
